Adjusting for Non-Ignorable Verification Bias in Clinical Studies for Alzheimer's Disease

Xiao-Hua Zhou and Pete Castelluccio
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Xiao-Hua Zhou: University of Washington
Pete Castelluccio: Purdue University

No 1044, UW Biostatistics Working Paper Series from Berkeley Electronic Press

Abstract: A common problem for comparing the relative accuracy of two screening tests for Alzheimer's disease (D) in a two-stage design study is verification bias. If the verification bias can be assumed to be ignorable, Zhou and Higgs (2000) have proposed a maximum likelihood approach to compare the relative accuracy of screening tests in a two-stage design study. However, if the verification mechanism also depends on the unobserved disease status, the ignorable assumption does not hold. In this paper, we discuss how to use a profile likelihood approach to compare the relative accuracy of two screening tests for AD without assuming the ignorable verification bias mechanism.

Keywords: Alzheimer's disease; ROC curves; verification bias; profile likelihood; non-ignorability (search for similar items in EconPapers)
Date: 2004-07-11
Note: oai:bepress.com:uwbiostat-1044
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Citations: View citations in EconPapers (2)

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